Researcher in Deep learning and optimisation for extreme-scale computational imaging
|Workplace||Edinburgh, Scotland, United Kingdom|
|Duration||24 months fixed term|
|Job Start||April 2021 - December 2021|
The Biomedical and Astronomical Signal Processing group ( BASP ) at Heriot-Watt University Edinburgh ( HWU ), headed by Professor Yves Wiaux, is recruiting multiple postdoctoral research associates and PhD students for research on deep learning and optimisation for extreme-scale computational imaging.
The BASP group is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School of Engineering and Physical Sciences at HWU. He is also Honorary fellow at the School of Informatics of the University of Edinburgh ( UoE ), and Academic Guest at the Signal Processing Laboratories of the Ecole Polytechnique Fédérale de Lausanne ( EPFL ).
The positions are open in the context of a large research project funded by the UK research Councils, aiming to develop a new generation of computational imaging algorithms at the interface of deep learning and optimisation, simultaneously providing precision (i.e. enabling high resolution and dynamic range imaging), robustness (i.e. including calibration and uncertainty quantification functionalities), and scalability (i.e. able to handle unprecedented image sizes and data volumes). The algorithms will be firstly designed for radio astronomy and validated beyond Terabyte image size, based on dedicated high performance computing implementations. A technology transfer at more moderate image size for both magnetic resonance imaging and ultrasound imaging in medicine will also be performed. The project is led by Prof. Wiaux, jointly with Mr Jackson at the Edinburgh Parallel Computing Centre ( EPCC ) of UoE, supported by a unique team of international partners: Prof. Pesquet, from the Digital Vision Centre at Université Paris-Saclay ( CentraleSupelec ), Prof. Smirnov from the South African Radio Astronomy Observatory ( SARAO ), Dr Perley from the US National Radio Astronomy Observatory ( NRAO ), Prof. Laing from the International Square Kilometre Array Organisation ( SKAO ), Prof. Thiran from the Signal Processing Laboratories of EPFL, Dr van Heeswijk from the Lausanne University Hospital, and Dr Buckley from Siemens Healthineers UK . A large team of researchers is being built, spanning all aspects of the project, from theory to application.
Postdoctoral research associate positions:
We are looking for outstanding candidates with a PhD in electrical engineering, applied mathematics, physics, computer science, or a related discipline. The ideal candidates will have expertise in computational imaging, with either a theory focus (algorithms for image reconstruction, including calibration and uncertainty quantification, with particular interest in deep learning and optimisation methods), or an application focus (from astronomical to medical imaging, specifically radio-astronomical, magnetic resonance, or ultrasound imaging, including simulation work and real data analysis). Competence across theory and application is a plus.
The postdoctoral researchers will be committed to cutting-edge research for precision robust scalable computational imaging, under the supervision of Prof. Wiaux and with the support of the whole project consortium, including both high performance computing experts at EPCC, led by Mr Jackson, and the academic and industrial partners. Upon outstanding performance, postholders can be granted (i) opportunities for long term research visits/secondments in a partner institution (EPFL, CentraleSupelec, SARAO, Siemens), (ii) flexibility in the direction of their research, as well as (iii) opportunity to co-supervise a PhD student on a subject related to their research.
The positions are initially for 2 years, renewable depending on research progress. HWU offers attractive salaries, based on experience and excellence criteria.
Expressions of interest and other queries should be sent by email to Prof. Wiaux ( firstname.lastname@example.org ).
Applications for postdoctoral positions should consist of a single PDF (including a motivation letter, CV, publication list, and names of 3 references) and be submitted through the Heriot-Watt University job portal accessible accessible here: ?url=https%3A%2F%2Fwww.hw.ac.uk%2Fuk%2Fjobs%2Fjob_SVJDMjgyMjQ.htm&module=jobs&id=48761" target="_blank" rel="nofollow">https://www.hw.ac.uk/uk/jobs/job_SVJDMjgyMjQ.htm . The screening of candidates will start late January 2021, and continue until the position is filled.
Start date: April 2021 to September 2021.
Scholarships are available on any combination of the following aspects of computational imaging: (i) development of image estimation and uncertainty quantification algorithms for large-scale imaging inverse problems, at the interface of deep learning, optimisation, and Bayesian inference frameworks, (ii) their application in either astronomy or medicine (e.g. radio-astronomical, magnetic resonance, or ultrasound imaging), (iii) their parallel high performance computing implementation.
We are looking for outstanding candidates with a First Class Master’s Degree in electrical engineering, applied mathematics, physics, computer science, or a related discipline. The PhD students will be fully integrated into BASP under the supervision of Prof. Wiaux and Mr Jackson, with possible co-supervision by project partners (EPFL, CentraleSupelec, SARAO, Siemens). Depending on research interest, PhD students may be granted the opportunity to integrate one of the prestigious Centres for Doctoral Training (CDTs) in Edinburgh.
Applications for PhD positions should consist of a single PDF (including a motivation letter, full transcript of record, CV, and names of 2 references), submitted by email to Prof. Wiaux at email@example.com . The screening of candidates will start in January 2021, and continue until the positions are filled.
Start date: April 2021 to December 2021.
Contact and Address
General queries should be sent by email to Prof. Wiaux ( y.wiauxhw.ac.uk ).
In your application, please refer to myScience.ch and reference JobID 48761.
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